{"id":"W195198121","doi":"10.1007/978-94-007-7347-9_17","title":"Signatures of Natural Selection and Ecological Differentiation in Microbial Genomes","year":2013,"lang":"en","type":"review","venue":"Advances in experimental medicine and biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Selection (genetic algorithm); Genome; Biology; Evolutionary biology; Natural selection; Genetic diversity; Population; Genomics; Ecological selection; Computational biology; Ecology; Genetics; Gene; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004864925,0.000565408,0.0009541747,0.001224065,0.0001565081,0.0009045083,0.0007985149,0.0007498315,0.001038177],"category_scores_gemma":[0.0007790215,0.0002469177,0.0002324316,0.00196316,0.000938567,0.001184247,0.0008475589,0.001069747,0.0004803544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006045725,"about_ca_system_score_gemma":0.00078512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007824625,"about_ca_topic_score_gemma":0.001207248,"domain_scores_codex":[0.9998318,0.0000237402,0.0000152767,0.00004788514,0.00006364578,0.00001760352],"domain_scores_gemma":[0.9996957,0.0001596755,0.00005960824,0.0000127713,0.00004748732,0.00002486697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005557467,0.00001566063,0.0004977686,0.005712254,0.00006107271,0.0001167093,0.00004326311,0.0004821783,0.005791763,0.005098044,0.007414255,0.9747115],"study_design_scores_gemma":[0.00002596284,0.00007277307,0.009827803,0.002937831,0.0002011144,0.001832818,0.000154933,0.0004571595,0.005375255,0.01977281,0.9592625,0.00007887548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000771746,0.9966637,0.0009073652,0.000356686,0.0001168425,0.000003321933,0.00004202123,0.00001928121,0.00111906],"genre_scores_gemma":[0.003804246,0.9945861,0.0006657175,0.0002082906,0.0002235672,0.000006090898,0.00006336979,0.000003578677,0.0004390784],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001224065,"threshold_uncertainty_score":0.004386485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563193186871785,"score_gpt":0.350876463562468,"score_spread":0.3352445316937502,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}